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Program induction
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Generating program code for domain-specific tasks
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Learning Object Placement Programs for Indoor Scene Synthesis with Iterative Self Training
Searching Latent Program Spaces
Towards Efficient Neurally-Guided Program Induction for ARC-AGI
Harmonizing Program Induction with Rate-Distortion Theory
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
Program-Based Strategy Induction for Reinforcement Learning
Guided Sketch-Based Program Induction by Search Gradients
KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases
LLMs for Relational Reasoning: How Far are We?
Modeling infant object perception as program induction
VisKoP: Visual Knowledge oriented Programming for Interactive Knowledge Base Question Answering
Learning Differentiable Logic Programs for Abstract Visual Reasoning
Bayesian Program Learning by Decompiling Amortized Knowledge
Compositional diversity in visual concept learning
Neuro-symbolic Meta Reinforcement Learning for Trading
Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines
ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering
Map Induction: Compositional spatial submap learning for efficient exploration in novel environments
Program Transfer for Answering Complex Questions over Knowledge Bases
Flexible Compositional Learning of Structured Visual Concepts
Fast and flexible: Human program induction in abstract reasoning tasks
Abstraction and Analogy-Making in Artificial Intelligence
Learning a Deep Generative Model like a Program: the Free Category Prior
Multi-Plane Program Induction with 3D Box Priors
Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning
Learning abstract structure for drawing by efficient motor program induction
Strong Generalization and Efficiency in Neural Programs
Learning to learn generative programs with Memoised Wake-Sleep
Perspective Plane Program Induction from a Single Image
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning
Automatic Discovery of Interpretable Planning Strategies
Knowledge Refactoring for Inductive Program Synthesis
Forgetting to learn logic programs
Attention on Abstract Visual Reasoning
Neural Probabilistic Logic Programming in DeepProbLog
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.